%0 Journal Article
%T Fault diagnosis using BP neural networks for municipal solid waste incineration<br>基于BP神经网络的垃圾焚烧过程故障诊断
%A Tao Huaizhi
%A Sun Wei
%A Zhao Jinsong
%A Chen Xiaochun
%A Yang Yixin
%A <br>陶怀志
%A 孙巍
%A 赵劲松
%A 陈晓春
%A 杨一新
%J 环境工程学报
%D 2008
%I 
%X A municipal solid waste (MSW) incineration process fault diagnosis model is established, which is based on a back propagation (BP) neural network. The network is trained with gradient descent approach. Optimal stopping rule is used to avoid overfitting and improve training speed as well as generalization ability. The test on real-time data shows that the method can correctly recognize different process operating conditions.
%K BP neural network
%K MSW incineration
%K fault diagnosis
%K optimal stopping rule<br>BP神经网络
%K 垃圾焚烧
%K 故障诊断
%K 最优停止法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=92E6F4267FD4CBCB51B1E49E014D8054&jid=3567BD61129AA59043F5DE01F8815DB5&aid=DAF6E2FBED7E0171C763872D088BF93B&yid=67289AFF6305E306&vid=0B39A22176CE99FB&iid=DF92D298D3FF1E6E&sid=A73A882009D0AEFE&eid=3A834AEE2C42102E&journal_id=1673-9108&journal_name=环境工程学报&referenced_num=0&reference_num=15